Comprehensive side-by-side LLM comparison
GPT-4.1 leads with 18.7% higher average benchmark score. GPT-4.1 offers 941.1K more tokens in context window than Qwen2.5 7B Instruct. Qwen2.5 7B Instruct is $9.40 cheaper per million tokens. GPT-4.1 supports multimodal inputs. Overall, GPT-4.1 is the stronger choice for coding tasks.
OpenAI
GPT-4.1 is a multimodal language model developed by OpenAI. The model shows competitive results across 30 benchmarks. It excels particularly in MMLU (90.2%), CharXiv-D (87.9%), IFEval (87.4%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). It supports a 139K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
6 months newer
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
GPT-4.1
OpenAI
2025-04-14
Cost per million tokens (USD)
GPT-4.1
Qwen2.5 7B Instruct
Context window and performance specifications
Average performance across 42 common benchmarks
GPT-4.1
Qwen2.5 7B Instruct
GPT-4.1
2024-06-01
Available providers and their performance metrics
GPT-4.1
OpenAI
Qwen2.5 7B Instruct
GPT-4.1
Qwen2.5 7B Instruct
GPT-4.1
Qwen2.5 7B Instruct
Together